12 hours ago
Rotterdam, NetherlandsSenior
Responsibilities
- Plan, execute, and continuously improve QA activities for data-intensive environments.
- Perform end-to-end ETL, data workflow, functional, integration, system, and regression testing.
- Validate data extraction, transformation, loading, reconciliation, completeness, consistency, accuracy, and business rules.
- Use advanced SQL to analyze source-to-target mappings, joins, aggregations, transformations, and data-quality defects.
- Develop and maintain reusable test automation utilities and frameworks using Python, PySpark, and Pandas where appropriate.
- Test cloud-based data platforms and integrations involving Azure Data Factory, Azure Databricks, Azure Data Lake Gen2, and Azure DevOps.
- Perform API and integration testing with Postman and validate data exchange across systems.
- Manage defects from identification and root-cause analysis through prioritization, fix verification, and closure.
- Report test progress, results, quality metrics, risks, dependencies, blockers, and outstanding defects.
- Coordinate QA activities with developers, data engineers, data architects, business analysts, product owners, business users, and project or program management.
- Identify quality risks, monitor mitigation measures, support quality governance, and promote continuous improvement.
Requirements
- Several years of experience as a Software Quality Engineer, Data QA Engineer, Data Test Engineer, ETL Test Engineer, or in a similar role.
- Demonstrable experience with ETL testing and Big Data testing, including strong manual-testing experience.
- Experience validating BI and reporting outputs, data quality, data reconciliation, and complete end-to-end testing lifecycles.
- Advanced knowledge of SQL and good knowledge of ETL frameworks and processes.
- Hands-on experience with Python, PySpark, Pandas, Azure Data Factory, Azure Databricks, Azure Data Lake Gen2, Azure DevOps, and Postman.
- Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, Software Engineering, or another comparable technical discipline.
- Strong analytical, problem-solving, accuracy, ownership, accountability, communication, stakeholder-management, and risk-mitigation skills.
- Ability to explain complex technical information in an understandable way and work independently in complex, data-driven environments.
- Experience with or strong interest in AI-driven testing and intelligent test automation is an advantage.
Benefits
- Challenging role within an international and growing organization.
- Opportunity to influence sourcing and procurement decisions across the business.
- Collaborative and diverse working environment.
- Exposure to complex supplier, stakeholder, and procurement networks.
- Opportunity to contribute to procurement optimization and transformation initiatives.
- Possibility to work with a broad range of industries, services, and business functions.
- Training, practical application, and knowledge exchange opportunities through Everience's Symbiotic Academy.
About Everience
Everience Italia provides IT managed services, including helpdesk support, break-fix dispatch, and technology consulting for SMEs and enterprises. Founded in 2012 and headquartered in Rho, Lombardy, it operates within an international group under the Everience brand and offers multilingual nearshore support from Timisoara, Romania. Revenue comes from managed service contracts and project-based support across Italy and abroad.